NNORSY-GOME Ozone Profile
Retrieval Products and Climatology
A.K. Kaifel, J.S. Kaptur (ZSW),
J.C. Lambert, C. de Clercq (BIRA-IASB),
T. Erbertseder, F. Baier (DLR-DFD)
J.M. Krijger, I. Aben (SRON)
Center for Solar Energy & Hydrogen Research (ZSW), Stuttgart, Germany
Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Space Research Organization Netherlands (SRON), Utrecht, Netherlands
funded by ESA under Contract: 17892/03/I-LG
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY-GOME Ozone Profile Retrieval Products and Climatology
Outline
1. NNORSY and Optimal Estimation (OE)
2. Approach for NNORSY
3. Local error estimation
4. NNORSY-GOME ozone profile products
5. Validation: Geophysical and data assimilation
6. Application for NNORSY-GOME data set
7. Dynamic ozone profile climatology
8. Summary
ITSC-16, May 2008, Angra dos Reis, Brazil
Optimal Estimation
z.B. FURM, OPERA, ...
x
~1 min/profile
x RTM
y
"a priori"
y
GOME
spectrum
x
p(x|y) =
p(y|x) p(x)
p(y)
O3 profile
…
…
NNORSY
Comparison of retrieval approaches
Optimal
Estimation
~1 ms/profile
k(x,y)
y
x
collocated measurements
NNORSY
ITSC-16, May 2008, Angra dos Reis, Brazil
Overview NNORSY-GOME
Operation
GOME
profiles
operational
real-time
processing
network
param.s
quality
check
GOME
Level 1
data
SAGE,
POAM, HALOE
profiles
neural
network
training
collocation
collocated
spectra/
profiles
collocation
SHADOZ
sondes
collocation
WOUDC
sondes
Preprocessing
training
data
test
data
eval.
data
random
data
mixing
Training
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY-GOME Input Parameters
Input data for neural network
yi
GOME
spectral
data
geolocation
meteorol. info
climatological
predictors
270 – 325 nm (O3 Hartley & Huggins)
380 – 385 nm (atmosph. window)
598 – 603 nm (O3 Chappuis)
758 – 772 nm (O2→ cloud info)
SZA, SAA
sensor scan angle
LOS type (east, nadir, west)
GEOS4 temperature profile
Latitude
Season and sensor age
NNORSY (Neural Network Ozone Retrieval System)
ITSC-16, May 2008, Angra dos Reis, Brazil
Estimation of Local Retrieval Error
training data 1
Example for NNORSY Ozone Retrieval
y
t
NNORSY
retrieval
training data 2
1
y
o
|o-t|
t
error network
training
NNORSY
error estimation
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY-GOME Processing Model
NNORSY ozone profile retrieval output data
GOME Lv. 1 ESA
GOME Lv1
file list
GOME Level 1 ZSW
Gdp_ex
GOME Lv1
file list
1.2 TB
GEOS4
T-profile
NNORSYGOME
processing
GDP4 TOZ
TOMS TOZ
Lv3
TPH GEOS4
Lv3
Optional auxiliary
Input data
NN error
coeff. file
NN index
file
Neural network input
parameter files
NN retrieval
coeff. file
Lv2 profile
Level 2 ozone
profile data
TOZ
Level 3 total
ozone column
TCO
Level 3 tropospheric
Ozone column
SCO
Level 3 stratospheric
Ozone column
TOR
GDP-SCO
Level 3 tropospheric
ozone residual
using GDP4 data
TOR
TOMS-SCO
Level 3 tropospheric
ozone residual
using TOMS V8 data
Trop.
mean VMR
Mean tropospheric
ozone volume
mixing ration
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY-GOME Ozone Profile Data Set
Temporal coverage
Additional Data
Start Date: 09/01/1995
Pressure: hPa
End Date: 05/31/2003
Total Ozone: Integr. NNORSY-profiles & TOMS (DU)
Number of Orbits/Profiles: 36694/48.579.769
Tropopause Height: km
Level 2 Profiles
Tropospheric Ozone: DU
Minimum Altitude: surface
Maximum Altitude: 61 km
Vertical Sampling: 1 km
Stratospheric Ozone: DU
GEOS4 T-profile
GEOS4 surface pressure
Ozone Number Density: 1e18/m³
Ozone Error: %
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY-GOME Single Ozone Profile I
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NNORSY-GOME Single Ozone Profile II
ITSC-16, May 2008, Angra dos Reis, Brazil
GOME Instrument Degradation
Ratio between model and measurement (yearly average)
Mg
Solar lines
Mission
start
ITSC-16, May 2008, Angra dos Reis, Brazil
Correlative Analysis: Artic
ITSC-16, May 2008, Angra dos Reis, Brazil
Correlative Analysis: 400 S / New Zealand
ITSC-16, May 2008, Angra dos Reis, Brazil
Validation with Data Assimilation
Why
¾Global quality control by first guess and error statistics
¾Identification of outlier or systematic errors
¾Check of retrievals for areas of known GOME problems (SAA)
¾Grid parameter:
CTM Model
¾Based on ROSE/DLR assimilation system, Version 3.0 (Baier et al., 2006)
¾Horizontal optimum interpolation scheme with analyzed error (Kalman Filter)
¾Comprises all relevant chemical and dynamical processes of stratosphere
¾DA system driven by UK Met Office wind and temperature fields
¾Grid parameter:
¾Vertical coverage:
1000 – 0.1 hPa
¾Vertical discretisation:
43 Levels
¾Horizontal resolution:
2.5° x 3.75° resolution
ITSC-16, May 2008, Angra dos Reis, Brazil
Data Assimilation Overview
Input = NNORSY-GOME retrievals
Forecast
CTM
First
Guess
NNORSY
OI
Profile Correction
Output = 3D global ozone analysis
Diagnostic parameters derived
OMF = observation minus first-guess
AMO = analysis minus observation
AMF = analysis minus first-guess
ITSC-16, May 2008, Angra dos Reis, Brazil
Validation with Data Assimilation
Zonal Means of First-Guess minus Observation Error (FMO)
January, April, July, October
ITSC-16, May 2008, Angra dos Reis, Brazil
Validation with Data Assimilation
Daily zonal means of FMO Error at 100 hPa
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY-GOME Application: Ozone Reanalysis
for Climate Model Evaluation (1/2)
GOME/NNORSY reanalysis vs ECHAM E39/C
1996
1999
1996
1999
100 hPa
50 hPa
30 hPa
10 hPa
0
2
4
6
8 ppm(v)
0
2
4
6
8 ppm(v)
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY-GOME Application: Ozone Reanalysis
for Climate Model Evaluation (2/2)
NNORSY-GOME reanalysis vs ECHAM E39/C
0
2
4
6
8 ppm(v)
0
2
4
6
8 ppm(v)
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY Dynamic Ozone Profile Climatology
CLIMATOLOGY-CALCULATION
INPUTPARAMETER
profile
ozone
stdv
temperature
stdv
profile
MODE 1
#1
#2
#3
#4
MODE 2
#5
#6
#3
#4
MODE 3
#7
#8
MODE 4
#9
#10
Time
TOZ
T-profile
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY Ozone Profile Climatology
Example for single profiles: Tropics, Antartica
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY Climatology vs. Retrieval
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NNORSY Climatology vs. Ground Based (1/2)
ITSC-16, May 2008, Angra dos Reis, Brazil
NNORSY Climatology vs. Ground Based (2/2)
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NNORSY-GOME: Summary
►
Almost 10 year global NNORSY-GOME ozone profile data set
►
Geophysical validation and comparison with sonde/lidar/satellite
►
Validation and global consistency check with data assimilation
►
Various tropospheric ozone column products
►
NNORSY compensate for instrument degradation
►
New dynamic ozone profile climatology
►
All products and data are available: http://nnorsy.zsw-bw.de
►
Extending GOME ozone profile data record with SCIAMACHY
► NNORSY application to SCIAMACHY nadir
ITSC-16, May 2008, Angra dos Reis, Brazil
THANK YOU
UKHYANTY
NNORSY-GOME: The End
QUESTIONS
ITSC-16, May 2008, Angra dos Reis, Brazil